Identifying demand factors for promotional planning and forecasting: A case of a soft drink company in the UK
In recent years, promotions have become a common practice in many retail outlets. Usually these promotions are planned collaboratively by manufacturers and retailers, who jointly agree on the products on promotion, the types of promotions, the price reduction and the timing of promotions. But, the sales can also be influenced by other factors such as weather, holiday periods and festivals, which are sometimes overlooked. In this research, we identify a set of demand factors influencing the sales of a leading soft drink company in the UK. We relate the demand factors with the company's actual sales to gain more insight into the underlying demand structure. We use structural equation modelling for this purpose. The results confirm the role of the promotional factors in the sales uplift for all products. However, the other demand factors are found influential only for some products. Our results suggest different demand structures for different product families, and our findings confirm the importance of collecting and exchanging the proper supply chain information. Our approach may also assist managers to better plan, forecast and promote different products in collaboration with other supply chain partners.
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- Baohong Sun, 2005. "Promotion Effect on Endogenous Consumption," Marketing Science, INFORMS, vol. 24(3), pages 430-443, July.
- Raju, Jagmohan S., 1995. "Theoretical models of sales promotions: Contributions, limitations, and a future research agenda," European Journal of Operational Research, Elsevier, vol. 85(1), pages 1-17, August.
- Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
- Sari, Kazim, 2008. "On the benefits of CPFR and VMI: A comparative simulation study," International Journal of Production Economics, Elsevier, vol. 113(2), pages 575-586, June.
- Srinivasan Raghunathan, 2001. "Information Sharing in a Supply Chain: A Note on its Value when Demand Is Nonstationary," Management Science, INFORMS, vol. 47(4), pages 605-610, April.
- Robert C. Blattberg & Alan Levin, 1987. "Modelling the Effectiveness and Profitability of Trade Promotions," Marketing Science, INFORMS, vol. 6(2), pages 124-146.
- Lee G. Cooper & Penny Baron & Wayne Levy & Michael Swisher & Paris Gogos, 1999. "PromoCast™: A New Forecasting Method for Promotion Planning," Marketing Science, INFORMS, vol. 18(3), pages 301-316.
- Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
- Byrne, P.J. & Heavey, Cathal, 2006. "The impact of information sharing and forecasting in capacitated industrial supply chains: A case study," International Journal of Production Economics, Elsevier, vol. 103(1), pages 420-437, September.
- Harikesh Nair & Jean-Pierre Dubé & Pradeep Chintagunta, 2005.
"Accounting for Primary and Secondary Demand Effects with Aggregate Data,"
INFORMS, vol. 24(3), pages 444-460, November.
- Nair, Harikesh S. & Dube, Jean-Pierre & Chintagunta, Pradeep, 2004. "Accounting for Primary and Secondary Demand Effects with Aggregate Data," Research Papers 1949, Stanford University, Graduate School of Business.
- Yossi Aviv, 2007. "On the Benefits of Collaborative Forecasting Partnerships Between Retailers and Manufacturers," Management Science, INFORMS, vol. 53(5), pages 777-794, May.
- Ryu, Seung-Jin & Tsukishima, Takahiro & Onari, Hisashi, 2009. "A study on evaluation of demand information-sharing methods in supply chain," International Journal of Production Economics, Elsevier, vol. 120(1), pages 162-175, July.
- Jean-Pierre Dubé & Sachin Gupta, 2008. "Cross-Brand Pass-Through in Supermarket Pricing," Marketing Science, INFORMS, vol. 27(3), pages 324-333, 05-06.
- Jean-Pierre Dubé, 2004. "Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks," Marketing Science, INFORMS, vol. 23(1), pages 66-81, September.
- Kim, Soo Wook, 2009. "An investigation on the direct and indirect effect of supply chain integration on firm performance," International Journal of Production Economics, Elsevier, vol. 119(2), pages 328-346, June.
- Li, Xiuhui & Wang, Qinan, 2007. "Coordination mechanisms of supply chain systems," European Journal of Operational Research, Elsevier, vol. 179(1), pages 1-16, May.
- Prasad A. Naik & Kalyan Raman & Russell S. Winer, 2005. "Planning Marketing-Mix Strategies in the Presence of Interaction Effects," Marketing Science, INFORMS, vol. 24(1), pages 25-34, June.
- Magid M. Abraham & Leonard M. Lodish, 1987. "Promoter: An Automated Promotion Evaluation System," Marketing Science, INFORMS, vol. 6(2), pages 101-123.
- Arshinder & Kanda, Arun & Deshmukh, S.G., 2008. "Supply chain coordination: Perspectives, empirical studies and research directions," International Journal of Production Economics, Elsevier, vol. 115(2), pages 316-335, October. Full references (including those not matched with items on IDEAS)
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